Algorithm Research Engineer

Looking for an Algorithm Research Engineer for a machine automation project. Project details are shared with shortlisted candidates only.
Hard skills:
Algorithms and data structures. Graphs (traversal, topological sort, MST, cycle detection), heuristic and combinatorial optimization (greedy, local search, 2-opt), spatial indexing, complexity analysis.
Advanced mathematics. Calculus; interpolation (splines, smoothing, resampling); approximation theory (error bounds, simplification); regression analysis (least squares, PCA, fitting noisy measurements); optimization (constrained and heuristic).
Computational geometry. Polygon operations, offsetting, distance transforms, skeletonization, robustness on degenerate input.
Python. Strong, vectorized numeric code; typed, tested, and reviewable.
LLM and AI tools (required). Daily use for research, prototyping, and test generation, with rigorous verification of every output.
Soft skills:
Rational, critical thinking: you challenge assumptions, including your own, and separate what is proven from what is assumed.
You look for failure modes before building and design fallbacks from the start.
Clear, concise written communication and honest status reporting.
Independent work on open research problems, and the judgment to narrow scope when needed.
Discretion with confidential work.
Technology:
Core: Python 3.12+, NumPy, SciPy, Shapely 2.x, pyclipper, scikit-image, NetworkX, OpenCV.
Quality: pytest, Hypothesis (property-based testing), ruff, mypy.
Platform: Docker, PostgreSQL, FastAPI, Git.
Terms:
Short-term contract, 2-3 months, with possible extension.
Competitive salary.
B2B / contractor arrangements welcome.
Required skills experience
Python
3 years
Research Skills
2 years
Algorithms and Data Structures
3 years
Calculus
3 years
scikit-learn, Data Science
Required languages
English
B2 - Upper Intermediate
About Rakhimkulov&Co
About the team:
Our team is small and young, though quite ambitious. Ex-FAANG engineers, a dozen startups behind us, and experience across a few domains: FinTech, Construction, Risk Assessment, Manufacturing, and even Crypto. We care about people, transparency, and trust.

Work arrangement
Yes